Activity Zones for Context-Aware Computing

Koile, Kimberle; Tollmar, Konrad; Demirdjian, David; Shrobe, Howard; Darrell, Trevor

doi:10.1007/978-3-540-39653-6_7

Cited by 53 publications

(29 citation statements)

References 22 publications

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“…Moreover, there has been widespread work [10,17,14] on detection and classification of large-scale human mobility patterns based on time-stamped location inferences and a numerical derivative to estimate velocity. [15] proposed a mobility-aware mechanism that adapts the location sampling rate to the target mobility in order to detect when the target crossed a critical region.…”

Section: Related Workmentioning

confidence: 99%

Detecting intra-room mobility with signal strength descriptors

Kleisouris

Firner

Howard

et al. 2010

Proceedings of the Eleventh ACM International Symposium on Mobile Ad Hoc Networking and Computing

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We explore the problem of detecting whether a device has moved within a room. Our approach relies on comparing summaries of received signal strength measurements over time, which we call descriptors. We consider descriptors based on the differences in the mean, standard deviation, and histogram comparison. In close to 1000 mobility events we conducted, our approach delivers perfect recall and near perfect precision for detecting mobility at a granularity of a few seconds. It is robust to the movement of dummy objects near the transmitter as well as people moving within the room. The detection is successful because true mobility causes fast fading, while environmental mobility causes shadow fading, which exhibit considerable difference in signal distributions. The ability to produce good detection accuracy throughout the experiments also demonstrates that our approach can be applied to varying room environments and radio technologies, thus enabling novel security, health care, and inventory control applications.

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Section: Related Workmentioning

confidence: 99%

Detecting intra-room mobility with signal strength descriptors

Kleisouris

Firner

Howard

et al. 2010

Proceedings of the Eleventh ACM International Symposium on Mobile Ad Hoc Networking and Computing

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“…A similar approach follows [10], but it first maps physical locations to semantic locations with the help of a central geo database. Also indoor locations are considered: in [9] small indoor regions, so called activity zones (e.g. the 'lunge chair') are classified.…”

Section: Related Workmentioning

confidence: 99%

Context-aware apps with the Zonezz platform

Roth

2011

Proceedings of the 3rd ACM SOSP Workshop on Networking, Systems, and Applications on Mobile Handhelds

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Current smart phones can easily detect the geographic location, but very often applications are more interested in the meaning of the location for the user. In this paper we present the Zonezz platform that identifies meaningful locations such as 'home' or 'work'. It provides an easy to understand context model and fully runs on a mobile device without the need for a central service. Other apps can use this platform to create context-awareness. We show the benefits of this platform with the help of a contextaware calendar tool.

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“…Employing a term from Koile et al (2003), we may describe such conjunctions as 'activity zones.' For example, computer laboratories serve activity zones for practical programming classes and such like.…”

Section: Narrower Situational Contextmentioning

confidence: 99%

An approach to context in human-computer interaction

Connolly¹,

Chamberlain²,

Phillips³

2008

Semiotica

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A comprehensive framework is presented for the analysis or description of context in relation to human-computer communication, in a manner that is also consistent with the contextual analysis of interpersonal communication among humans. Following a discussion of the nature of context, a hierarchically structured framework is proposed, which distinguishes between those contextual factors that are intrinsic to the communication process and those extrinsic factors that are classed as situational. Both of these overall classes are subdivided into broader and narrower categories, and the situational context is additionally analyzed in terms of physical and socio-cultural factors. Cognitive aspects of context are also included within the treatment, while allowing for the di¤erences that exist between human and computerbased representations. Finally, the application of the framework to various aspects of human-computer communication is discussed, with a view to the resolution of attendant problems.

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Activity Zones for Context-Aware Computing

Cited by 53 publications

References 22 publications

Detecting intra-room mobility with signal strength descriptors

Detecting intra-room mobility with signal strength descriptors

Context-aware apps with the Zonezz platform

An approach to context in human-computer interaction

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